The statistical characteristics of event data

Philip A Schrodt

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

This paper explores event data as an abstract statistical object. It briefly traces the historical development of event data, with particular attention to how nominal events have come to be used primarily in interval-level studies. A formal definition of event data and its stochastic error structure is presented. From this definition, some concrete suggestions are made for statistically compensating for misclassification and censoring errors in frequency-based studies. The paper argues for returning to the analysis of events as discrete structures. This type of analysis was not possible when event data were initially developed, but electronic information processing capabilities have improved dramatically in recent years and many new techniques for generating and analyzing event data may soon be practical.

Original languageEnglish (US)
Pages (from-to)35-53
Number of pages19
JournalInternational Interactions
Volume20
Issue number1-2
DOIs
StatePublished - Jan 1 1994

Fingerprint

event
historical development
information processing
electronics

All Science Journal Classification (ASJC) codes

  • Political Science and International Relations

Cite this

Schrodt, Philip A. / The statistical characteristics of event data. In: International Interactions. 1994 ; Vol. 20, No. 1-2. pp. 35-53.
@article{b1ca0adbccd14cc0a2a0a5272aeacb04,
title = "The statistical characteristics of event data",
abstract = "This paper explores event data as an abstract statistical object. It briefly traces the historical development of event data, with particular attention to how nominal events have come to be used primarily in interval-level studies. A formal definition of event data and its stochastic error structure is presented. From this definition, some concrete suggestions are made for statistically compensating for misclassification and censoring errors in frequency-based studies. The paper argues for returning to the analysis of events as discrete structures. This type of analysis was not possible when event data were initially developed, but electronic information processing capabilities have improved dramatically in recent years and many new techniques for generating and analyzing event data may soon be practical.",
author = "Schrodt, {Philip A}",
year = "1994",
month = "1",
day = "1",
doi = "10.1080/03050629408434839",
language = "English (US)",
volume = "20",
pages = "35--53",
journal = "International Interactions",
issn = "0305-0629",
publisher = "Taylor and Francis Ltd.",
number = "1-2",

}

The statistical characteristics of event data. / Schrodt, Philip A.

In: International Interactions, Vol. 20, No. 1-2, 01.01.1994, p. 35-53.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The statistical characteristics of event data

AU - Schrodt, Philip A

PY - 1994/1/1

Y1 - 1994/1/1

N2 - This paper explores event data as an abstract statistical object. It briefly traces the historical development of event data, with particular attention to how nominal events have come to be used primarily in interval-level studies. A formal definition of event data and its stochastic error structure is presented. From this definition, some concrete suggestions are made for statistically compensating for misclassification and censoring errors in frequency-based studies. The paper argues for returning to the analysis of events as discrete structures. This type of analysis was not possible when event data were initially developed, but electronic information processing capabilities have improved dramatically in recent years and many new techniques for generating and analyzing event data may soon be practical.

AB - This paper explores event data as an abstract statistical object. It briefly traces the historical development of event data, with particular attention to how nominal events have come to be used primarily in interval-level studies. A formal definition of event data and its stochastic error structure is presented. From this definition, some concrete suggestions are made for statistically compensating for misclassification and censoring errors in frequency-based studies. The paper argues for returning to the analysis of events as discrete structures. This type of analysis was not possible when event data were initially developed, but electronic information processing capabilities have improved dramatically in recent years and many new techniques for generating and analyzing event data may soon be practical.

UR - http://www.scopus.com/inward/record.url?scp=0002325165&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0002325165&partnerID=8YFLogxK

U2 - 10.1080/03050629408434839

DO - 10.1080/03050629408434839

M3 - Article

AN - SCOPUS:0002325165

VL - 20

SP - 35

EP - 53

JO - International Interactions

JF - International Interactions

SN - 0305-0629

IS - 1-2

ER -